Severity of nonalcoholic fatty liver disease is associated with subclinical cerebro-cardiovascular atherosclerosis risk in Korean men.
cross_sectional · Level IV
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- Also identified by DOI 10.1371/journal.pone.0193191 and PMC identifier 5863945.
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Abstract
No studies have reported the relationship between nonalcoholic fatty liver disease (NAFLD) and concurrent cerebral artery and coronary artery atherosclerosis simultaneously. We aimed at determining whether NAFLD, as assessed by ultrasound, is associated with subclinical cerebro-cardio vascular atherosclerosis (CCVA) by multidetector-row computed tomography (MDCT), and high resolution-magnetic resonance angiography (HR-MRA). This cross-sectional study included men in the general Korean population aged 20-70 years. A total of 1,652 men participated in the study (normal, n = 835; mild-to-moderate NAFLD, n = 512; severe NAFLD, n = 305). The risk of subclinical CCVA was positively associated with age (odds ratio [OR] 1.068; 1.054-1.081, p < 0.001), body mass index (OR 1.120; 1.08 0-1.162, p < 0.001), hepatic enzyme levels (OR 1.012; 1.001-1.023, p = 0.027; OR 1.006; 1.001-1.012, p = 0.036), fasting glucose (OR 1.021; 1.015-1.027, p < 0.001), triglycerides (OR 1.002; 1.000-1.003, p = 0.016), hypertension (OR 2.836; 2.268-3.546, p < 0.001), and diabetes (OR 2.911; 2.137-3.964, p < 0.001). Also, high-density lipoprotein cholesterol was inversely associated with subclinical CCVA (OR 0.974; 0.965-0.982, p < 0.001). Compared with normal controls, the OR for subclinical CCVA after full adjustment was 1.46 in the mild-to-moderate NAFLD group (95% confidence interval [CI]: 1.10 to 1.93) and 2.04 in the severe NAFLD group (95% CI: 1.44 to 2.89). Our data show that NAFLD is common among Korean men, and NAFLD severity on ultrasonography is associated with subclinical CCVA, as assessed by MDCT, and HR-MRA.
Medical subject headings
- Coronary Artery Disease
- Intracranial Arteriosclerosis
- Multidetector Computed Tomography
- Non-alcoholic Fatty Liver Disease
- Severity of Illness Index